How to Become a Data Analyst in Malaysia?

Datamites Team Datamites Team
Jul 7, 2023 Updated: Apr 20, 2024
0 300
How to Become a Data Analyst in Malaysia?
How to Become a Data Analyst in Malaysia?

Becoming a data analyst in Malaysia offers an exciting opportunity to work in a rapidly growing field that plays a crucial role in shaping the future of industries across the country. As data becomes increasingly valuable, organizations in Malaysia are seeking skilled professionals who can analyze and interpret data to derive meaningful insights and drive informed decision-making. In this evolving digital age, data analysts are in high demand as they possess the ability to analyze complex data sets, identify trends, and provide actionable recommendations. As a data analyst in Malaysia, you will have the opportunity to work across various sectors such as finance, healthcare, e-commerce, telecommunications, and more.

What is Data Analytics?

Data analytics is the process of examining and interpreting large sets of data to uncover meaningful patterns, insights, and trends. It involves applying various statistical and analytical techniques to extract valuable information from raw data and transform it into actionable knowledge. Data analytics encompasses a range of tasks, including data cleaning, data modelling, data visualization, and statistical analysis.

According to the Fortune Business Insight report, the data analytics market size is anticipated to reach USD 745.15 Billion by the year 2030 at a CAGR rate of 13.5%. The goal of data analytics is to identify patterns, relationships, and correlations within the data that can provide valuable insights and support decision-making. These insights can be used to optimize business operations, improve efficiency, identify opportunities, mitigate risks, and drive overall growth and success. Data analysts, who have undergone a Data Analytics Course in Malaysia, play a vital role in extracting valuable insights from data and translating them into actionable recommendations for businesses and organizations.

Why a Data Analytics career in Malaysia?

Pursuing a data analytics career in Malaysia can be an attractive choice, especially when considering the salary aspect. The demand for skilled data analysts in Malaysia is growing rapidly as organizations recognize the importance of leveraging data to drive business success. 

Salaries for data analysts in Malaysia vary depending on factors such as experience, skill level, industry, and location. According to the PayScale report, the salary of a data analyst in Malaysia ranges from MYR 45,584 per year. As professionals gain more experience and expertise, their earning potential increases significantly, with mid-level and senior data analysts earning salaries between MYR 6,000 to MYR 12,000 per month or more.

A data analytics career in Malaysia can offer attractive salaries in its major city of Kuala Lumpur. Generally, the salary of a data analyst in Kuala Lumpur ranges from MYR 73,094 according to an Indeed report. As organizations increasingly rely on data-driven insights, the value of data analysts continues to rise, making it a promising career choice in terms of financial rewards.

Refer the following articles:

Why is Data Analytics in demand in Malaysia?

Data analytics is in high demand across various industries in Malaysia due to several factors. Let’s explore how data analytics is driving demand in specific sectors:

  1. Education: Educational institutions in Malaysia are leveraging data analytics to improve student outcomes, enhance teaching methods, and optimize administrative processes. Data analytics helps educational institutions identify patterns in student performance, personalize learning experiences, and make data-driven decisions to enhance overall educational quality.
  2. Healthcare: The healthcare industry in Malaysia is experiencing a significant transformation through data analytics. Healthcare providers are using data analytics to improve patient care, streamline operations, and optimize resource allocation. Data analytics enables insights into patient outcomes, disease patterns, treatment effectiveness, and healthcare resource utilization, leading to more efficient and effective healthcare delivery.
  3. Retail: Retail businesses in Malaysia are harnessing the power of data analytics to understand customer behaviour, optimize inventory management, and enhance marketing strategies. By analyzing customer purchasing patterns, preferences, and trends, retailers can personalize marketing campaigns, improve product offerings, and optimize pricing strategies to meet customer demands and drive business growth.
  4. Manufacturing: Data analytics plays a crucial role in enhancing manufacturing processes and optimizing operational efficiency in Malaysia’s manufacturing sector. By analyzing production data, manufacturers can identify bottlenecks, optimize supply chains, improve quality control, and reduce costs. Predictive analytics helps manufacturers forecast demand, minimize downtime, and optimize maintenance schedules, leading to improved productivity and competitiveness.
  5. Finance: The finance industry in Malaysia relies heavily on data analytics for risk assessment, fraud detection, and customer analytics. Financial institutions analyze large volumes of data to identify fraudulent activities, assess creditworthiness, and develop targeted marketing strategies. Data analytics also plays a vital role in portfolio management, investment decision-making, and compliance with regulatory requirements.

Overall, data analytics is in high demand across education, healthcare, retail, manufacturing, and finance industries in Malaysia due to its ability to provide valuable insights, improve decision-making, and drive operational efficiencies. As organizations recognize the potential of data analytics to gain a competitive edge, the demand for skilled data analysts continues to grow.

Read the following articles:

How to Become a Data Analyst in Malaysia?

To become a data analyst in Malaysia, you can follow these essential steps:

  1. Obtain a Relevant Education: Pursue a bachelor’s degree in a field related to data analytics, such as statistics, mathematics, computer science, or data science. A strong foundation in quantitative skills and analytical thinking is crucial for a career in data analytics.
  2. Gain Proficiency in Data Analysis Tools and Technologies: Familiarize yourself with popular data analysis tools and technologies used in the industry, such as SQL, Python, R, Excel, and data visualization tools like Tableau or Power BI. Acquiring proficiency in these tools will enable you to manipulate data, perform statistical analysis, and create meaningful visualizations.
  3. Develop Strong Analytical and Problem-Solving Skills: Data analysts need to think critically and have a strong problem-solving mindset. Enhance your analytical skills by practising solving complex problems, working with datasets, and applying statistical techniques to extract insights.
  4. Live-project internship: Engaging in live project internships provides valuable opportunities for data analytics professionals to gain practical experience, where they can utilize their knowledge and skills to tackle real-world data challenges faced by organizations.
  5. Certifications: Obtaining a data analyst certification in Malaysia validates an individual’s expertise and understanding of the field, showcasing their dedication to professional growth and staying current with industry-leading methodologies. Certifications in data analytics not only enhance job opportunities but also establish credibility in the field.
  6. Resume Preparation: When creating a resume for a data analytics role, it is essential to highlight relevant skills and experience that are pertinent to the position. Focus on technical proficiencies like programming languages (Python, R), data querying (SQL), and analytics tools (Tableau, Power BI).
  7. Gain Industry Experience and Internships: Seek internships or entry-level positions in companies that utilize data analytics. This will provide you with valuable industry exposure, hands-on experience, and the opportunity to work with real-world datasets. Additionally, it can help you establish professional connections in the field.
  8. Job Search and Application: Utilize online job portals, company websites, and professional networking platforms to search for data analyst job opportunities in Malaysia. Tailor your resume and cover letter to highlight your relevant skills and experiences in data analysis.

Remember that building a successful career in data analytics requires continuous learning, adaptability, and a passion for working with data. By following these steps and gaining practical experience, you can increase your chances of becoming a data analyst in Malaysia.

How is DataMites providing Certified Data Analyst Course in Malaysia?

DataMites, a prestigious and global training institute with a global presence, delivers comprehensive data analytics training in Malaysia. Notably, the Certified Data Analyst Course in Malaysia stands as an exceptional offering, enabling students to acquire extensive knowledge and practical skills in the field of data analytics. DataMites also provides diverse courses like artificial intelligence, deep learning, Python, machine learning, MLOps, Data science etc. 

Here’s a general outline of how they provide a certified data analyst course in Malaysia:

  1. Ashok Veda and faculty: DataMites is privileged to have Ashok Veda, a highly acclaimed AI expert with an impressive 19-year history in analytics and data science. With extensive experience across multiple industries, including finance, healthcare, and technology, he has consistently achieved outstanding outcomes and promoted innovation. As a distinguished member of the DataMites faculty, Ashok Veda spearheads projects that leverage state-of-the-art AI methodologies, uncovering invaluable insights and resolving intricate business obstacles. With world-class training and a focus on staying ahead of AI advancements, DataMites ensures students receive top-notch guidance from Ashok Veda.
  2. Project and Internship Opportunities: DataMites offers valuable project and internship opportunities that enable students to acquire practical experience and apply their skills in real-world contexts. These opportunities serve as a catalyst for enhancing their comprehension of data analytics as they engage in hands-on projects and tackle industry-specific challenges.
  3. Industry-relevant Tools: DataMites ensures that its students have access to industry-relevant tools through various channels, providing them with licensed software and widely used tools such as Excel, SQL, Tableau, Power BI, and more. Additionally, DataMites places a strong emphasis on practical experience and proficiency by integrating hands-on exercises and real-world projects into its curriculum. By combining tool accessibility with practical applications, DataMites ensures that students develop essential industry-related skills and become proficient in using relevant tools.
  4. Course Structure: DataMites would have a structured curriculum for their certified data analyst course, covering essential topics and skills required for data analysis. This may include subjects like statistical analysis, data visualization, data manipulation, data mining, machine learning, and more.
  5. Online Training: DataMites might offer their certified data analyst course through both classroom and online training formats. Classroom training typically involves physical classes that students attend in person, while online training allows participants to access course materials and lectures remotely through an online learning platform.
  6. Experienced Instructors: DataMites would have experienced instructors who are knowledgeable in the field of data analysis. These instructors would deliver lectures, provide guidance, and answer students’ questions throughout the course.
  7. Hands-on Projects: To gain practical experience, DataMites might include hands-on projects as part of their certified data analyst course. These projects would allow students to apply their knowledge and skills to real-world data analysis problems.
  8. Certification: Upon successful completion of the course requirements, DataMites would likely provide a certificate to participants, recognizing their achievement as certified data analysts. DataMites provides internationally recognised IABAC certification to the students to help them profoundly improve their career. 
  9. Flexibility: DataMites provides flexible training options for students in Malaysia, including exclusive Online Data Analytics Training in Malaysia. This allows students to select a learning mode that best suits their convenience and preferences.
  10. Affordable fees: DataMites ensures accessibility to quality education in the field of data analytics by offering affordable fees for its courses. DataMites offers cost-effective alternatives that ensure the preservation of high-quality content and a rewarding learning experience. The certified data analyst course fee in Malaysia ranges from MYR 3,499 to MYR 6,670

To get the most accurate and up-to-date information about DataMites specific offerings in Malaysia, I recommend visiting their official website or contacting them directly.

Certified Data Analyst Course

Summary

In conclusion, to pursue a career as a data analyst in Malaysia, individuals should prioritize acquiring a strong educational background, gaining practical skills through a data analytics training course in Malaysia, obtaining certifications, building relevant work experience, and staying connected with the data analytics community. By following these steps and considering reputable data analytics institutes in Malaysia, aspiring data analysts can position themselves for success in the field.

As for the demand for data analysts in Malaysia, the field is experiencing significant growth and is highly sought after across industries. As businesses increasingly rely on data-driven decision-making, the need for skilled professionals who can analyze and interpret data is rising. The demand for data analysts in Malaysia is expected to continue growing as companies recognize the value of data-driven insights to optimize operations, enhance customer experiences, and gain a competitive edge. Therefore, pursuing a career as a data analyst in Malaysia can offer promising opportunities and a positive job market outlook.

Refer the following articles:

Learn Data Analysis with the Help of Python

Data Science vs Data Analytics